Growth Engineering Pod Lead

Neko Health; New York (NY); On-site; USD 140,000 - 210,000; Full time

Job summary

Neko Health is seeking an Engineering Pod Lead for Growth to direct a four-to-six engineer pod, owning the end-to-end growth funnel—website, waitlist, bookings, payments, referrals, and market launches. You will drive rapid experimentation and scale across clinics and markets, balancing speed with robustness.

You will mold architectural decisions, instrumentation, and AI-assisted development to enable fast learnings, with a focus on secure, fraud-resistant public surfaces and a high-velocity

Qualifications

• Deep experience building consumer products across the stack with depth in payments, growth systems, internationalization or web platform.
• Owned a funnel, a conversion rate or a revenue line and moved it.
• Ran experiments with discipline and can distinguish results from noise.
• Led engineers as a tech lead or equivalent and raised a team’s standards and judgment.
• Daily use of AI coding tools and shown outputs shipped with them.

Responsibilities

• Ship the Growth roadmap on time and at quality, building alongside the pod on the funnel, payments, booking and launches (Impact, not activity).
• Set the technical direction for growth at Neko: architecture and instrumentation for fast testing and clinic/market launches as configuration, not a project.
• Own quality: testing scope, releases, and fast, secure, resilient surfaces (member-first).
• Lead a pod with ongoing hiring, mentorship, feedback, and AI tools integrated in engineers’ workflows.
• Know what’s going on in code and numbers, and communicate it clearly.

Skills

Funnel ownership

Experimentation

Technical leadership

AI tooling

Tools

React

TypeScript

Next.js

Azure DevOps

Claude Code

C#

Node.js

Job description

Neko Health is seeking an Engineering Pod Lead for Growth to direct a four-to-six engineer pod, owning the end-to-end growth funnel—website, waitlist, bookings, payments, referrals, and market launches. You will drive rapid experimentation and scale across clinics and markets, balancing speed with robustness.

You will mold architectural decisions, instrumentation, and AI-assisted development to enable fast learnings, with a focus on secure, fraud-resistant public surfaces and a high-velocity